I've been attempting to create a custom_family for the Dirichlet-multinomial in brms v2.22.0, following the approach set out in the custom family vignette. However, I'm running into difficulties. The ...
Abstract: In this paper, we examine the problem of count data clustering. We analyze this problem using finite mixtures of distributions. The multinomial distribution and the multinomial Dirichlet ...
On September 27th, 2024, the Department of Mathematics and Statistics at Concordia University proudly hosted the 11th installment of the Professor T.D. Dwivedi Memorial Lecture series. This annual ...
When studying for a doctoral degree (PhD), candidates submit a thesis that provides a critical review of the current state of knowledge of the thesis subject as well as the student’s own contributions ...
In this work, we present the Smoothed Dirichlet (SD) Distribution, as an alternative distribution to the multinomial and the more recent Dirichlet-Compound-Multinomial (DCM) distributions as a basic ...
To examine the characteristics of public opinion on social media and the benefits of analyzing it, we reported the analysis of the 5 million tweets posted in 2020 on then Prime Minister Abe Shinzo in ...
Naive Bayes is a family of algorithms based on applying Bayes theorem with a strong(naive) assumption, that every feature is independent of the others, in order to ...
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